The data represents the relative cultivation intensity in the agricultural area of Alberta. Cultivation intensity refers to the frequency of cultivation associated with the following management systems: no till, conventional tillage and summerfallow. It is an estimate of the degree to which cultivation contributes to wind and water erosion. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).This map was created in 2002 using ArcGIS.

A Yukon-wide compilation of 1102 till geochemistry samples collected during 4 regional till sampling surveys conducted by Yukon Geological Survey in the Faro/Anvil Range, Weasel Lake, Finlayson Lake and Glenlyon/East Carmacks areas between 1998 and 2002. Complete analytical results for more than 40 elements are included in the attribute table for each sample.

To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.

This dataset compiles information and photographs collected at 49 observation stations during a field campaign conducted from July 31 to August 11, 2025, in the central part of the Kivalliq region. It includes the locations of sites where ice-flow indicators were measured, along with their relative chronology where it could be determined in the field.It also includes the locations of till sampling sites collected for geochemical and indicator mineral analyses, as well as sites where boulders and bedrock surfaces were sampled for terrestrial cosmogenic isotope dating.Analytical results and interpretations will be presented in subsequent publications.

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

Timing windows are the period(s) during the year when work may be carried out in and about water bodies with the lowest risk to fish and wildlife species and habitat. Timing windows and terms and conditions vary based on regional differences in fish and wildlife species and habitat, and geography. The timing window of least risk to fish and fish habitat must be applied to all activities in water bodies, as well as tributaries that have a risk of depositing sediment into water bodies. Windows of least risk are designed to protect all fish species known to occur in a water body.

This file represents an aggregated dataset that shows previously active Orders and Alerts in the Province as initiated by Local Governments or First Nations. Start dates, re-installment dates and All Clear Dates for each Evacuation Order and Alert are included in this multipart polygon dataset. The dataset includes records beginning summer 2017 until the present day. Orders and Alerts that are currently active are found in [Evacuation Orders and Alerts](https://catalogue.data.gov.bc.ca/dataset/evacuation-orders-and-alerts).

## Purpose The Ministry of Agriculture, Food and Agribusiness (OMAFA) is responsible for Ontario’s provincial soil maps and maintains and update them as necessary. Digital Soil Mapping (DSM) is a modern methodology using spatially explicit soils and environmental data to predict soil variation throughout a landscape at a high, consistent resolution. Digital soil maps are being rolled out throughout Ontario’s agricultural land base to update provincial soil maps. ## Reach Provincial soil maps are used in many decision-making processes including: * land use planning * land evaluation * farming practices * best management practices * ecological monitoring * land resource mapping Potential users of this data include: * farmers * certified crop advisors * conservation authorities * academic researchers * land use planners ## Potential impacts Digital soil maps provide more accurate and precise soils data and enables improved management of soil resources across multiple stakeholders. This allows for better decision making to maximize land use efficiency, improve economic efficiency of soil resources and promote soil health and soil conservation. ## Technical description Digital soil mapping combines geo-referenced soil observations with geo-referenced environmental layers to mathematically model soil variation as a function of environment variation. These models are based on well established, but often complex relationships, between soil properties and topography, biology, geology and hydrology.

This file represents an aggregated dataset that shows previously active Orders and Alerts in the Province as initiated by Local Governments or First Nations. Start dates, re-installment dates and All Clear Dates for each Evacuation Order and Alert are included in this multipart polygon dataset. The dataset includes records beginning summer 2017 until the present day. Orders and Alerts that are currently active are found in [Evacuation Orders and Alerts](https://catalogue.data.gov.bc.ca/dataset/evacuation-orders-and-alerts).